{"id":"W3204260092","doi":"10.1007/978-3-030-87615-9_8","title":"Fast Tractography Streamline Search","year":2021,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University","funders":"","keywords":"Computer science; Tractography; Artificial intelligence; Diffusion MRI; Radiology; Magnetic resonance imaging","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008182127,0.0005326596,0.0006710796,0.001063692,0.0003341866,0.001064945,0.003132199,0.0002861104,0.0001338684],"category_scores_gemma":[0.00004877051,0.0004799348,0.0003487659,0.001594829,0.0005923246,0.0006185394,0.001693492,0.001026567,0.00003410551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001373907,"about_ca_system_score_gemma":0.000508179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004751592,"about_ca_topic_score_gemma":0.0001526996,"domain_scores_codex":[0.9955101,0.00003749728,0.0005899525,0.001794324,0.001256457,0.0008116937],"domain_scores_gemma":[0.9971952,0.0003095915,0.0002271121,0.001616568,0.000410543,0.0002409167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002048343,0.00003058709,0.00007896777,0.0000232484,0.00002594926,0.0001837585,0.000393301,0.02928261,0.0001098277,0.01593409,0.00001040984,0.9539252],"study_design_scores_gemma":[0.0002825034,0.0002376518,0.0002894359,0.0005102484,0.00002457083,0.0001568827,0.000001180921,0.9671604,0.001750051,0.02467527,0.003766289,0.001145517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001412045,0.0009102324,0.9905006,0.0006320638,0.0007467137,0.0001579089,0.00000770685,0.0001261137,0.006777472],"genre_scores_gemma":[0.1821965,0.0002101577,0.8127906,0.001279422,0.001175239,0.000006843795,0.00003600571,0.00007582567,0.002229398],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9527797,"threshold_uncertainty_score":0.999972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01884631580594297,"score_gpt":0.240362149454587,"score_spread":0.221515833648644,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}